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Engineering at the University of Sheffield, where you will develop your research and professional skills alongside multiple researchers focused on CFD and boiling modelling. Confident and reliable estimation
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using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected
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. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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finite element modelling to simulate the deformation of microstructures, novel crack propagation simulation techniques and scale-transition algorithms. The model will be informed and validated using full
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multiple research projects at Sheffield for the Sellafield/National Nuclear Laboratory-based Encapsulant Integrated Research Team (EIRT) focused on development of cement encapsulants to meet Sellafield and
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needs to be embedded on the two-dimensional surface of the cortex. Which principles guide this transformation is currently unknown. Furthermore, our sense of touch relies on multiple classes of receptors